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15 Cards in this Set
- Front
- Back
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Bar Graph
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y = dependent variable -- x = phase, condition, classification -- no distinct data points -- s/not be used for: repeated measures across time, client progress. May be used for summaries, unrelated catagories
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Cumulative Record
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Developed by Skinner, used in EAB lab research using a cumulative recorder, subject draws its own graph, each response moves the pen one unit, total no. responses over time
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Cumulative record: slope of the line
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rate per minute, flat line = no response
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Equal interval line graph (simple line graph)
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Horizontal = x axis, time, independent
Vertical = y axis, target behavior, dependent on changes in environment we make -- measures changes over time, related things |
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Phase Change Line
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Major change in Intervention or Environmental events -- Solid vertical line, data path never crosses
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Condition change line
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Minor change, dotted line, data path "may" cross
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Scatterplot
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measures distribution of individual measures, i.e. good for measuring patterns of behavior in activity schedule
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Standard Celeration Chart
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semi-logarithmic, precision teaching = rate of learning, measures changes in rates over long periods of time, duration increases move DOWN y-axis, 1000 times / minute
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Line graph -- calibration of Y-axis
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top line (max amt.) 50% greater than largest BL value -- on paper draw it 2/3 length of x-axis
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Fundamental properties of visual behavioral data
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level, trend, variability
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Variability
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high degree = practitioner has achieved little control over factors influencing bx
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Level
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The value on Y-axis around which a set of measures converge. The mean=average, or with outliers=median (the middle number of the data set)
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Trend
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Overall direction of the data path (increasing, decreasing, zero). Best fit = ignore outliers, half the data points above, half below
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Split-middle line (trend)
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Divide data path in half, find mid-date and mid-rate for each set, connect with line.
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Behavior change
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When all data points in one condition fall outside the range of values for all data points in an adjacent condition = no overlap of data points
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